






"""simple docstring"""
from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
snake_case : Optional[int]     		=		1.0_54_57_18_17E-34  # unit of ℏ : J * s

snake_case : Dict     		=		3E8  # unit of c : m * s^-1


def 							A						(				__snake_case: float ,     __snake_case: float ,     __snake_case: float  )    ->		dict[str, float]:

       """simple docstring"""





       if (force, area, distance).count(0  ) != 1:
              raise ValueError('One and only one argument must be 0'  )
       if force < 0:
              raise ValueError('Magnitude of force can not be negative'  )
       if distance < 0:
              raise ValueError('Distance can not be negative'  )
       if area < 0:
              raise ValueError('Area can not be negative'  )
       if force == 0:
              __magic_name__      				=    (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
                  2_4_0 * (distance) ** 4
              )
              return {"force": force}
       elif area == 0:
              __magic_name__      				=    (2_4_0 * force * (distance) ** 4) / (
                  REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
              )
              return {"area": area}
       elif distance == 0:
              __magic_name__      				=    (
                  (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (2_4_0 * force)
              ) ** (1 / 4)
              return {"distance": distance}
       raise ValueError('One and only one argument must be 0'  )


# Run doctest
if __name__ == "__main__":
 import doctest

 doctest.testmod()







"""simple docstring"""
from datetime import datetime

import matplotlib.pyplot as plt
import torch


def 							A						(				__snake_case: Optional[int]  )    ->		Tuple:

       """simple docstring"""





       for param in module.parameters():
              __magic_name__      				=    False


def 							A						(				)    ->		Optional[Any]:

       """simple docstring"""





       __magic_name__      				=    'cuda' if torch.cuda.is_available() else 'cpu'
       if torch.backends.mps.is_available() and torch.backends.mps.is_built():
              __magic_name__      				=    'mps'
       if device == "mps":
              print(
                  'WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'
                  ' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'
                  ' with generations.'  )
       return device


def 							A						(				__snake_case: int  )    ->		List[Any]:

       """simple docstring"""





       __magic_name__      				=    plt.imshow(__snake_case  )
       fig.axes.get_xaxis().set_visible(__snake_case  )
       fig.axes.get_yaxis().set_visible(__snake_case  )
       plt.show()






def 							A						(				)    ->		List[Any]:

       """simple docstring"""





       __magic_name__      				=    datetime.now()
       __magic_name__      				=    current_time.strftime('%H:%M:%S'  )
       return timestamp